PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-07-06 10:19:59.586784+00:00 (UTC)
In US/Central Time, this is 2024-07-06 05:19:59.586784-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/67a5ba7a27da87b50311cf32cc004250ee58b393b2a9efd5c4cfcf1b66ef87db.png
We are just generating a random time serie here.
../_images/635555b6b1d04d9701af7a7c88c2a75d444ecfa16a8450f50f7c045712e59c89.png
../_images/cb84532cb66536e5a2b7123ae3296452b68882cd26b286771ca7dcb7eda2d319.png